The power spectrum data and appropriate covariance matrix from
Percival et al. (2001, MNRAS, 327, 1297) are available as text files
from the links below. They are designed to be self-explanatory, but in
the event of problems please send an email to Will Percival.

Because of the difficulty of performing a 3D convolution with the
appropriate survey window function (given a model power spectrum), a
simple C program that demonstrates how this may be achieved for any
k-value is also available (note that this comes with no
warranty).

Given a sufficiently smooth P(k), it is possible to speed up
this process using the window function in matrix form. Such a matrix is
also available from a link below for determining the convolved power
spectrum at the k-values of the data. This file is organised as
follows: the first line gives the k-values at which the convolved
P(k) is being calculated (chosen to be the same as the data);
each subsequent line gives the k-value at which the unconvolved
P(k) should be determined (100 points), and the weights required
to calculate the 32 convolved P(k) values. The simple program
given below demonstrates how to use this matrix and compares the result
with the numerically convolved P(k). If you use the matrix
method, it is suggested that you check that the power spectra that you
wish to convolve are sufficiently smooth that the two methods give the
same answer (to the required accuracy).

If you download these data or programs please send an email to
Will Percival so that
you can be contacted in case of updates or corrections.